[D] Extracting time-aware commitment signals from conversation history — implementation approaches?

Working on a system that saves key context from multi-model conversations (across GPT, Gemini, Grok, Deepseek, Claude) to a persistent store. The memory layer is working – the interesting problem I’m now looking at is extracting “commitments” from unstructured conversation and attaching temporal context to them.

The goal is session-triggered proactive recall: when a user logs in, the system surfaces relevant unresolved commitments from previous sessions without being prompted.

The challenges I’m thinking through:

• How to reliably identify commitment signals in natural conversation (“I’ll finish this tonight” vs casual mention)
• Staleness logic – when does a commitment expire or become irrelevant
• Avoiding false positives that make the system feel intrusive

Has anyone implemented something similar? Interested in approaches to the NLP extraction side specifically, and any papers on commitment/intention detection in dialogue that are worth reading.